Triple

T13573574
Position Surface form Disambiguated ID Type / Status
Subject KLM line E324224 entity
Predicate namedAfter P63 FINISHED
Object Krutov
Krutov is the namesake of a KLM airline route, likely a notable individual after whom the line was dedicated.
 E1050505 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Krutov | Statement: [KLM line, namedAfter, Krutov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krutov
Context triple: [KLM line, namedAfter, Krutov]
  • A. Krupa
    Krupa is a surname most famously associated with Gene Krupa, the pioneering American jazz and big band drummer.
  • B. Lestkov
    Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • C. Vaslav
    Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
  • D. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • E. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Krutov
Triple: [KLM line, namedAfter, Krutov]
Generated description
Krutov is the namesake of a KLM airline route, likely a notable individual after whom the line was dedicated.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krutov
Target entity description: Krutov is the namesake of a KLM airline route, likely a notable individual after whom the line was dedicated.
  • A. Krupa
    Krupa is a surname most famously associated with Gene Krupa, the pioneering American jazz and big band drummer.
  • B. Lestkov
    Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • C. Vaslav
    Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
  • D. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • E. Vasishka
    Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0106cb48190b20eb9bda131a68a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8bda0c81909afd4b9ef9605cd3 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f781773984819082ac6bd71ac8ac46 completed May 3, 2026, 5:10 p.m.
NED2 Entity disambiguation (via description) batch_69f781e32cb48190abc83e65405ac8ac completed May 3, 2026, 5:12 p.m.
Created at: April 9, 2026, 9:48 p.m.